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» Solving Constraints in Model Transformations
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CORR
2010
Springer
105views Education» more  CORR 2010»
14 years 11 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
127
Voted
AR
2007
138views more  AR 2007»
15 years 21 days ago
Integrating robotics and neuroscience: brains for robots, bodies for brains
—Researchers in robotics and artificial intelligence have often looked at biology as a source of inspiration for solving their problems. From the opposite perspective, neuroscie...
Michele Rucci, Daniel Bullock, Fabrizio Santini
SI3D
1999
ACM
15 years 4 months ago
Haptic sculpting of dynamic surfaces
Conventional free-form surface design usually require tedious control-point manipulation and/or painstaking constraint specification via unnatural mouse-based interfaces. This pa...
Frank Dachille, Hong Qin, Arie E. Kaufman, Jihad E...
132
Voted
ISDA
2010
IEEE
14 years 10 months ago
Avoiding simplification strategies by introducing multi-objectiveness in real world problems
Abstract--In business analysis, models are sometimes oversimplified. We pragmatically approach many problems with a single financial objective and include monetary values for non-m...
Charlotte J. C. Rietveld, Gijs P. Hendrix, Frank T...
81
Voted
ICC
2009
IEEE
15 years 7 months ago
Robust Cyclic Space-Frequency Filtering for BICM-OFDM with Outdated CSIT
— In this paper, we introduce robust cyclic space– frequency (CSF) filtering for systems combining bit–interleaved coded modulation (BICM) and orthogonal frequency division ...
Harry Z. B. Chen, Robert Schober, Wolfgang H. Gers...